Walpeup MRS125

Rainfall and Trial data

Soil constraints at site

Need some information here….

Management zones:

Layers used to define management zone

(Please confirm this)

Map of management zone.

Details strips.

Date of amelioration: Additional information on strips:

Details Point sampling

Results Point sampling

Strip

One-way ANOVA followed by Tukey’s HSD post-hoc test at 95% confidence (p < 0.05), where treatments sharing the same letter are not significantly different from each other, while treatments with different letters have statistically significant differences in their means. The error bars on the plot at the Q1 and Q3 values.

Strip by zone

Anlaysis performed but sample size is very low and results not plotted

Results Yield data (off header).

There are many different ways to analyse yield monitor data. Yield data is often noisy, so thinning, cleaning, and trimming are usually recommended. Yield data is also frequently kriged to interpolate missing values and generate a map.

Strip trials add complexity to this process. Long, unreplicated strips within a paddock are difficult to krige. In some trials, low or zero yield values may be real, but standard cleaning and trimming methods may remove these values. Retaining zero values add complexity to statical analysis.

The workflow below represents just one approach for analysing strip trial yield data collected from a yield monitor. Further refinement and testing are needed to optimise the method. Current Workflow

Harvest data from the yield monitor (processed in QGIS using Christina Tools, an extension of PAT):

  1. Data projected.
  2. Data thinned to 1m spacing.
  3. No cleaning or trimming applied.
  4. Yield not adjusted for moisture.
  5. Outliers removed by visual inspection.
  6. X and Y coordinates assigned to the shapefile.
  7. Data exported as a shapefile and CSV.

Strip ladder polygons (in QGIS using Christina Tools):

  1. Strip treatments and control areas (excluding buffers) selected.
  2. Polygon ladders generated (10m length × strip width).
  3. Polygon, line, and point layers exported as shapefiles.

Analysis in R:

  1. Target yield column selected from yield dataset.
  2. Yield data joined and clipped to the ladder polygons.
  3. Yield data joined to management zones.
  4. Yield values within each ladder polygon averaged to create one yield value per ladder.
  5. Centroid of each polygon ladder created
  6. These averaged values are used for further analysis and plotting.

Note 2 headers operated at Walpeup MRS125, found it!